Scatter plots and association are two concepts in statistics that are commonly used to analyze data. A scatter plot is a graph that shows the relationship between two variables by plotting points on a graph. It is often used to explore the relationship between two variables and to discover trends. An association is a measure of the strength of the relationship between two variables. It is used to determine if there is a linear or nonlinear relationship between two variables. The answer key for 14.1 scatter plots and association can help students understand both concepts.

## Scatter Plots Explained

Scatter plots are graphs that show the relationship between two quantitative variables. The x-axis of the graph is the independent variable and the y-axis is the dependent variable. Points are plotted on the graph to show the relationship between the two variables. The pattern of the points can help determine if there is a linear or nonlinear relationship between the two variables. If the points form a linear pattern, then there is a linear relationship between the two variables. If the points form a nonlinear pattern, then there is a nonlinear relationship between the two variables.

## Association Explained

Association is a measure of the strength of the relationship between two variables. It is used to determine if there is a linear or nonlinear relationship between two variables. The most common measure of association is the correlation coefficient. The correlation coefficient is a number between -1 and 1 that indicates the strength of the relationship between two variables. If the correlation coefficient is close to 1, then there is a strong linear relationship between the two variables. If the correlation coefficient is close to 0, then there is no linear relationship between the two variables. If the correlation coefficient is close to -1, then there is a strong negative linear relationship between the two variables.

## Answer Key for 14.1 Scatter Plots and Association

The answer key for 14.1 scatter plots and association can help students understand the concepts. The answer key contains example problems that students can use to practice plotting points on a scatter plot and calculating the correlation coefficient. It also contains explanations of how to interpret the results of the calculations. By practicing with the answer key, students can gain a better understanding of both concepts.

Scatter plots and association are important concepts in statistics that are used to analyze data. The answer key for 14.1 scatter plots and association can help students understand both concepts and gain a better understanding of how to interpret their results. Students can use the answer key to practice plotting points on a scatter plot and calculating the correlation coefficient, so they can gain a better understanding of both concepts.